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Franz Engel
Junior Full-Stack & ML Engineer specializing in research tooling and applied machine learning
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About
Full-stack engineer and ML assistant in UC Irvine’s CS department who deployed a lab project showcase platform and integrated on-demand execution of computational projects using Docker for isolation. Also built and optimized Linux cloud/cluster test automation for research, diagnosing RAM and network sync bottlenecks, and later led development of a Python-based predictive analytics tool for musicians using probabilistic graphical models and flexible data pipelines.
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Key Strengths
- Deploying research/web platforms with Docker-based isolation for safe execution
- Designing workflows for large user-submitted files and complex frontend state before backend computation
- Optimizing computational pipelines to fit within RAM constraints on cloud machines
- Diagnosing cluster performance bottlenecks using Linux networking tools (identifying sync/bandwidth delays vs compute)
- Building Python data pipelines and training/evaluating probabilistic graphical models for a musician-focused analytics tool
- Collaborating with stakeholders to elicit requirements and iterate designs in Figma with weekly feedback cycles
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